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» The GLOBAL optimization method revisited
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EOR
2007
84views more  EOR 2007»
13 years 10 months ago
The multi-layered network design problem
act 11 We address the problem of designing a network built on several layers. This problem occurs in practical applications 12 but has not been studied extensively from the point o...
Arnaud Knippel, Benoit Lardeux
GBRPR
2007
Springer
14 years 4 months ago
Hierarchy Construction Schemes Within the Scale Set Framework
Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are de...
Jean-Hugues Pruvot, Luc Brun
AH
2004
Springer
14 years 3 months ago
The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies.
Traditional adaptive hypermedia systems have focused on providing adaptation functionality on a closed corpus, while Web search interfaces have delivered non-personalized informati...
Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael...
CEC
2007
IEEE
14 years 4 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
MP
2002
195views more  MP 2002»
13 years 9 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak